Staged Training Report ✓ Complete

Run ID: shoulder_session_multiheight_vgg_loss_2
Generated: 2026-02-22 00:27:37
Stages Completed: 1
Total Elapsed Time: 05:31:39

Configuration

Config Defaults Changed Since Last Commit

ParameterPreviousCurrent
batch_size 1 8
lr_sweep.phase_b_time_budget_min 10.0 5.0
plateau_sweep.plateau_ema_alpha 0.9 0.95
plateau_sweep.plateau_improvement_threshold 0.0005 0.005
All Configuration Parameters (60 parameters)
ParameterValue
total_samples10000000
batch_size8
stage_samples_multiplier100000000000
update_interval250
window_size100
num_best_models_to_keep1
sampling_modeLoss-weighted
loss_weight_temperature0.5
loss_weight_refresh_interval50
stop_on_divergenceTrue
divergence_gap0.002
divergence_ratio1.5
divergence_patience50
divergence_min_updates10
val_spike_threshold2.0
val_spike_window15
val_spike_frequency0.75
val_plateau_patience250
val_plateau_min_delta0.0001
custom_lr0.0001
disable_lr_scalingTrue
custom_warmup-1
lr_min_ratio0.001
resume_warmup_ratio0.05
plateau_factor0.8
plateau_patience15
preserve_optimizerFalse
preserve_schedulerTrue
samples_modeTrain additional samples
num_random_obs_to_visualize2
selected_frame_offset3
runs_per_stage5
serial_runsTrue
clean_old_checkpointsTrue
enable_baselineFalse
baseline_runs_per_stage1
run_idshoulder_session_multiheight_vgg_loss_2
enable_wandbTrue
wandb_projectdevelopmental-robot-movement
lr_sweep.lr_min1e-07
lr_sweep.lr_max0.01
lr_sweep.phase_a_num_candidates5
lr_sweep.phase_a_seeds1
lr_sweep.phase_a_time_budget_min3.0
lr_sweep.phase_a_survivor_count2
lr_sweep.phase_b_seeds3
lr_sweep.phase_b_time_budget_min5.0
lr_sweep.ranking_metricmedian_best_val
lr_sweep.min_samples_before_timeout1000
lr_sweep.min_evals_before_stop5
lr_sweep.save_sweep_stateTrue
plateau_sweep.enabledTrue
plateau_sweep.plateau_ema_alpha0.95
plateau_sweep.plateau_improvement_threshold0.005
plateau_sweep.plateau_patience25
plateau_sweep.cooldown_updates5
plateau_sweep.max_sweeps_per_stage2
plateau_sweep.min_sweep_improvement0.0
initial_sweep_enabledTrue
stage_time_budget_min180

Timing Summary

Stage Plateau Sweeps Sweep Time Training Time Stage Total
Stage 1 2 00:49:50 00:07:10 00:57:01
TOTAL 2 00:49:50 00:07:10 00:57:01

Initial LR Sweep: Stage 1: selected LR 3.16e-05 in 00:22:35

Plateau Sweep Details

Total Sweeps: 2
Stages with Sweeps: 1 of 1
Total Sweep Time: 00:49:50
Average Sweep Duration: 00:24:55

Stage 1: 2 sweeps

LR Progression: 3.2e-05 → 1.0e-07 → 1.0e-07

Sweep # Triggered At (samples) Wall Time Selected LR Duration
1 16,128 00:03:24 1.00e-07 00:24:04
2 25,856 00:29:32 1.00e-07 00:25:46

Stage Results

Stage Best Loss Stop Reason Samples Trained Time Sweeps LR (Initial→Final)
Stage 1 0.119720 max_sweeps (2) 7,936 00:57:01 2 3.2e-05→1.0e-07

Total Plateau Sweeps: 2

Stop Reason Breakdown

Loss Across Full Training Run

Multi-Run Statistics

Total Runs: 5
Average Best Loss: 0.120076 ± 0.000208
Best Overall: 0.119720
Worst Overall: 0.120235

Stage 1 (5 runs)

Run Best Loss Stop Reason Samples Time Selected
1 N/A sweep_no_improvement (val: 0.122552 -> 0.123502, delta: -0.000950) 7,680 00:52:22
2 0.120204 max_sweeps (2) 9,728 01:28:15
3 0.120143 max_sweeps (2) 12,288 00:34:58
4 0.120235 max_sweeps (2) 8,960 01:14:03
5 0.119720 max_sweeps (2) 7,936 00:57:01
Mean: 0.120076 ± 0.000208 Min: 0.119720 / Max: 0.120235 Range: 0.000515

Best Checkpoint

Name: best_model_auto_session_so101_multiheight_part1_1345_shoulder_session_multiheight_vgg_loss_2_00027392_cont_val_0.119720.pth
Stage: 1
Hybrid Loss (full session): 0.130517

Learning Rate Timeline with Plateau Sweeps

Stage Progression

Stage Orig Loss Train Loss Time Samples Stop Reason
1 ⭐ 0.130517 0.119720 00:57:01 7936 max_sweeps (2)

Hybrid Loss Over Original Session (per Stage)

Stage 1 (Best) - Hybrid Loss: 0.130517

Sample Counts

Cumulative Across All Stages

Per Stage

Stage 1 (Best) - Total Samples: 7,936

Best Checkpoint Inference

Selected Frame 3

Action 0

Action 1

Action 2

Random Observations

Observation 248

Action 0
Action 1
Action 2

Observation 1167

Action 0
Action 1
Action 2